{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "297a793f-099d-45f3-b64e-10fd70cace49", "metadata": { "tags": [] }, "outputs": [], "source": [ "%reload_ext jupyter_ai" ] }, { "cell_type": "code", "execution_count": 2, "id": "01d054df-6fed-4c53-9fd1-27e5e09d64f9", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "1.0" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "2/2" ] }, { "cell_type": "code", "execution_count": 3, "id": "1d28e4d2-1677-4a3a-b489-94c95d7233ec", "metadata": { "tags": [] }, "outputs": [ { "ename": "ZeroDivisionError", "evalue": "division by zero", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;241;43m2\u001b[39;49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\n", "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero" ] } ], "source": [ "2/0" ] }, { "cell_type": "code", "execution_count": 4, "id": "267decf3-9a23-4ca1-a2fa-b472c0e911c8", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/markdown": [ "The error is a `ZeroDivisionError`. It occurred because the code attempted to divide a number by zero, which is mathematically undefined. This error message specifically states \"division by zero\", indicating that there was an attempt to divide by zero." ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": { "text/markdown": { "jupyter_ai": { "model_id": "gpt-3.5-turbo", "provider_id": "openai-chat" } } }, "output_type": "execute_result" } ], "source": [ "%%ai chatgpt\n", "Explain the following Python error:\n", " {Err[3]}" ] }, { "cell_type": "markdown", "id": "686afba1-6a0d-4046-9125-ab78e5414b70", "metadata": {}, "source": [ "---\n", "\n", "You can also use the `%ai error` command, which takes the same parameters as the basic `%%ai` command, to explain the most recent error." ] }, { "cell_type": "code", "execution_count": 5, "id": "a2e16281-93ee-42ca-adee-45ed842dd96f", "metadata": { "tags": [] }, "outputs": [ { "ename": "SyntaxError", "evalue": "Missing parentheses in call to 'print'. Did you mean print(...)? (1142230402.py, line 1)", "output_type": "error", "traceback": [ "\u001b[0;36m Cell \u001b[0;32mIn[5], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m print 'foo'\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m Missing parentheses in call to 'print'. Did you mean print(...)?\n" ] } ], "source": [ "print 'foo'" ] }, { "cell_type": "code", "execution_count": 6, "id": "76ee2adb-afe9-4f65-95b3-9757ec1909dc", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Cell In[5], line 1\n", " print 'foo'\n", " ^\n", "SyntaxError: Missing parentheses in call to 'print'. Did you mean print(...)?\n", "\n" ] } ], "source": [ "print(Err[5])" ] }, { "cell_type": "code", "execution_count": 7, "id": "8548d2b2-f79f-4b33-8338-3819a37ba856", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/markdown": [ "The error is a `SyntaxError`. It occurred because the code uses Python 2 syntax to print a string without parentheses, but the notebook is running in Python 3, which requires parentheses for `print` statements. \n", "\n", "The error message specifies that the issue is \"Missing parentheses in call to 'print'\". The message also suggests a possible solution by stating \"Did you mean print(...)?\" which indicates that enclosing the string \"foo\" in parentheses will resolve the syntax error." ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": { "text/markdown": { "jupyter_ai": { "model_id": "gpt-3.5-turbo", "provider_id": "openai-chat" } } }, "output_type": "execute_result" } ], "source": [ "%ai error chatgpt" ] }, { "cell_type": "code", "execution_count": 8, "id": "f32009ae-c7d5-4649-aa13-852e193ec604", "metadata": {}, "outputs": [ { "data": { "text/html": [ "AI generated code inserted below ⬇️" ], "text/plain": [ "" ] }, "execution_count": 8, "metadata": { "text/html": { "jupyter_ai": { "model_id": "gpt-3.5-turbo", "provider_id": "openai-chat" } } }, "output_type": "execute_result" } ], "source": [ "%%ai chatgpt --format code\n", "The following Python code:\n", "--\n", "{In[5]}\n", "--\n", "produced the following Python error:\n", "--\n", "{Err[5]}\n", "--\n", "Write a new version of this code that does not produce that error." ] }, { "cell_type": "code", "execution_count": null, "id": "8b10227e-53b3-48e2-bba0-104cc222ffc5", "metadata": {}, "outputs": [], "source": [ "print('foo')" ] }, { "cell_type": "code", "execution_count": null, "id": "15feb854-2e14-47d8-9327-2cbbc2aeaf2c", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.8" } }, "nbformat": 4, "nbformat_minor": 5 }